Hello everyone,
When looking for information about clustering of spatial data in R I was
directed towards DBSCAN. I've read some docs about it and theb new
questions have arisen.
DBSCAN requires some parameters, one of them is "distance". As my data
are three dimensional, longitude, latitude and temperature, which
"distance" should I use? which dimension is related to that distance? I
suposse it should be temperature. How do I find such minimum distance
with R?
Another parameter is the minimum number of points neded to form a
cluster. Is there any method to find that number? Unfortunately I
haven't found.
Searching thorugh Google I could not find an R example for using dbscan
in a dataset similar to mine, do you know any website with such kind of
examples? So I can read and try to adapt to my case.
The last question is that my first R attempt with DBSCAN (without a
proper answer to the prior questions) resulted in a memory problem. R
says it can not allocate vector. I start with a 4 km spaced grid with
779191 points that ends in approximately 300000 rows x 3 columns
(latitude, longitude and temperature) when removing not valid SST
points. Any hint to address this memory problem. Does it depend on my
computer or in DBSCAN itself?
Thanks for the patience to read a long and probably boring message and
for your help.
--
-----------
Francisco Pastor
Meteorology department, Instituto Universitario CEAM-UMH
http://www.ceam.es
-----------
mail: p...@ceam.es
skype: paco.pastor.guzman
Researcher ID: http://www.researcherid.com/rid/B-8331-2008
Cosis profile: http://www.cosis.net/profile/francisco.pastor
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